English: Against the backdrop of the explosive growth of AI large models and the in-depth promotion of the "Eastern Data and Western Computing" project, data centers are evolving from mere computing infrastructure into massive power consumers and spatiotemporal flexible loads. Their high energy consumption and density place immense pressure on local grid security, system operation costs, and carbon reduction. Promoting the transition of data centers and power systems from one-way power supply to bidirectional synergy, and achieving deep fusion of computing and power flows, has become a key path to ensuring computing security and reducing energy costs. This forum aims to gather cutting-edge research on AI data centers and computing-power & electricity synergy, exploring the collaborative potential of data centers as flexible power users and distributed energy aggregators. The forum focuses on the spatiotemporal evolution laws of multi-level energy consumption and carbon footprints, constructing joint scheduling models for computing tasks and power flows, mining adjustable capacity and response speed in servers, cooling systems, and energy storage, and designing incentive-compatible electricity market participation and green power trading mechanisms, ultimately forming a methodology for computing-power & electricity synergy planning and operation that supports new power systems. The scope of this track covers, but is not limited to, fine-grained modeling and real-time monitoring of energy consumption and carbon emissions in data centers, cross-regional joint optimization and control of computing and power flows for renewable energy integration, multi-timescale flexible load aggregation and demand response strategies, data center participation in ancillary services, virtual power plants (VPPs) and carbon market linkage, as well as collaborative planning for computing networks, energy storage, and green electricity, along with the development of evaluation standards, policy mechanisms, and low-carbon business models for computing-power & electricity synergy.

中文: 在AI大模型爆发式增长和“东数西算”工程深入推进背景下，数据中心正从算力承载设施演变为庞大的电力消费者和时空可调负荷，其高能耗、高密度特性给局部电网安全、系统运行成本和碳减排带来巨大压力。推动数据中心与电力系统从单向供电走向双向协同，实现算力流与电力流的深度融合，已成为保障算力安全、降低用能成本的关键路径。本专题旨在汇聚AI数据中心与算电协同前沿研究，探索数据中心作为电力灵活用户与分布式能源聚合体的协同潜力。聚焦多层级能耗与碳足迹的时空演变规律，构建算力任务与电力潮流联合调度模型，挖掘服务器、制冷、储能等环节的可调容量与响应速度，设计激励相容的电力市场参与及绿电交易机制，形成支撑新型电力系统的算电协同规划与运行方法论。征稿主题包括：数据中心能耗碳排精细化建模与实时感知，面向新能源消纳的跨域算力-电力联合优化调度，多时间尺度灵活负荷聚合与需求响应策略，数据中心参与辅助服务、虚拟电厂及碳市场联动，算力网络与储能、绿电协同规划，以及算电协同评价标准、政策机制与低碳商业模式等。